Applied Memory Lab Research Associate

A Research Associate (RA) is a junior/entry-level research-focused role with a global remit. Your main responsibility is to support other members of the Applied Memory lab on project work for a diverse range of studies and impact activities. You may also be tasked with liaising with study participants directly and working with other senior team members to ensure the efficient and effective coordination of project work.

Main Duties:

- Liaising with external non-academic partners (e.g., police forces and legal stakeholders) to assist with translating research for practice.
- Assistance with analysing impacts as a result of our research, and summarising the literature for non-academics.
- Administrative duties possibly including liaising with participants before and after study, assistance with gaining ethical approval, website development and maintenance, and lab organisation.
- Conducting experiments, participant recruitment, data collection and analyses.
- Present research and impact outputs, including academic writings or parts thereof, for example at lab meetings, seminars and as posters.
- Collaborating and assisting other colleagues in their research activities. Collect research data through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews.
- Provide guidance, as required, to support staff and any students who may be assisting with the research.
- Deal with problems that may affect the achievement of research objectives and deadlines.
- Foster a fair and equitable workplace for all staff.
- Identify and respond to equality and diversity issues in line with relevant university policies and procedures.

Person Specification:

- An undergraduate degree in psychology, neuroscience, computer science or a related field.
- Resourcefulness and organisational skills to act on own initiative.
- Ability to work independently.
- Experience with Microsoft Office.
- Experience or familiarity with research on memory and decision making, or related areas, particularly eyewitness identification (desirable).
- Experience with programming and statistics (e.g., Matlab, R or Python).
- Knowledge of the protected characteristics of the Equality Act 2010, including fostering good relations and advancing the university's Public Sector Equality Duty (PSED).
- Practical experience of applying the relevant skills and techniques.
- Ability to analyse information and communicate effectively.
- Ability to access and organise resources successfully.